Why the healthcare industry's move to cloud computing is accelerating

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Physicians are targeting breast and ovarian cancer through research that crunches massive amounts of information from more than 2,000 DNA sequences at the Icahn School of Medicine at Mount Sinai. The data set is gigantic — more than 100 terabytes — and the analysis happens aboard a secure cloud-based platform through Amazon Web Services.

“By using AWS, we can store source files securely and cost-effectively with significant durability and accessibility,” 

By Karin Ratchinsky, 27 June 2016, 2 comments. Categories: Big Data, Case Studies, Data & Analytics, Industry.

How IoT, big data analytics and cloud continue to be high priorities for developers

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  • 56.4% of developers are building robotics apps today.
  • 45% of developers say that Internet of Things (IoT) development is critical to their overall digital strategy.
  • 27.4% of all developers are building apps in the cloud today.
  • 24.7% are using machine learning for development projects.

These and many other insights are from the Evans Data Corporation Global Development Survey, Volume 1 (PDF, client access) published earlier this month. The...

By Louis Columbus, 27 June 2016, 1 comment. Categories: Applications, Big Data, Data & Analytics, Developers.

Couchbase rounds off a busy period – but is an IPO imminent?

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It has been a particularly busy year for database platform provider Couchbase – and the company hopes that things will become a whole lot busier.

Earlier this week Couchbase launched 4.5, which continues its move to create joins between NoSQL and SQL through the SQL-based query language N1QL. The latest iteration includes greater security capabilities, alongside faster queries and graphical tools to more easily explore data models.

In March, the Mountain View-based firm announced the conclusion...

By James Bourne, 24 June 2016, 0 comments. Categories: Data & Analytics, Data Management, Platform.

A guide to planning for application resiliency in cloud environments

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As businesses look to clouds for faster, more flexible growth, they confront significant challenges from a legacy application base that has varying levels of cloud suitability. Here, we examine how requirements around fault tolerance and disaster recovery can impact choice of cloud or architecture strategies within a cloud. 

Planning for application resiliency in cloud environments can present special challenges. Strategies can be similar to those used in traditional data centres,...

Big data loss: What to do when the almighty cloud fails

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If you use the cloud, it's probably for a few main reasons: you can store large amounts of data, you can share your data easily, and you're very unlikely to lose your data. But cloud data loss does happen, and even if the chances are low, it still might happen to you. Make sure you've protected your data from every angle to make sure you never lose it, no matter what happens.

Server failure

When you or your business stores something on the cloud, to you it seems like it's backed up in...

By JT Ripton, 17 June 2016, 0 comments. Categories: Big Data, Data & Analytics, Data Loss, Data Management, Disaster Recovery.

Are you being served? Big data and the disrupters of customer service

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We often hear the buzzword phrases of customer service, quality of service, customer first and net promoter score, and both the B2C and B2B markets have been constantly changing, driven by more demanding customer expectations with the bar being set ever higher by new disrupters. Take the age-old example of Blockbuster, a model and brand that was globally successful and known, quickly disrupted when newcomers set the de facto bar: download a movie anywhere, anytime to a growing number of...

By Ian Moyse, 15 June 2016, 0 comments. Categories: Big Data, Consumer, Data & Analytics, Software.

How Trulia is using Hadoop and big data to power one of the largest global real estate sites

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In one form or another, businesses have always employed data analysis to inform decision making. But today’s state of the art big data analytics platforms like Hadoop have taken things to a whole new level.

This new level of business functionality, called converged infrastructure, optimises business processes across an entire enterprise by grouping multiple IT components into a single computing package.

For example, converged infrastructure may include components like servers, storage,...

By Rick Delgado, 14 June 2016, 0 comments. Categories: Big Data, Case Studies, Data & Analytics, Platform.

What does the EU referendum mean for the GDPR legislation?

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On June 23, a referendum is being held to determine whether Britain should leave or remain in the European Union. But what does this mean for businesses – and in particular, what does it mean with regard to the upcoming EU General Data Protection Regulation?

In April this year, after months of mooting and deliberation, the European Union set out new data protection laws that businesses will have to adhere to within two years or face significant fines – up to 4% of...

By James Bourne, 10 June 2016, 0 comments. Categories: Data & Analytics, Data Management, Data Sovereignty, Europe.

Netskope study argues majority of cloud apps are not ready for EU GDPR

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Three quarters of cloud apps used by businesses are not equipped for the upcoming EU General Data Protection Regulation (GDPR), according to the latest study from cloud security services provider Netskope.

The report comes hot on the heels of a survey conducted by the firm back in February which argued businesses were not sure if they would keep up with the upcoming legislation, which is set to drop in two years’ time and includes provisos over the right to be forgotten, as...

Why the move to DevOps means more than greater business agility

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Moving to a DevOps approach in your organisation has long been advocated as being a good idea – but what benefits does it provide? A new piece of research from managed cloud services provider Claranet argues better quality of applications is the key reason to move over.

The study, which surveyed 900 IT decision makers across Europe, argues the classic reason for moving to DevOps, greater business agility, is not a catch-all. Indeed agility (55%) was only the third most popular...

By James Bourne, 07 June 2016, 0 comments. Categories: Data & Analytics, DevOps.